X-Road
Apache Camel
X-Road | Apache Camel | |
---|---|---|
8 | 21 | |
581 | 5,308 | |
1.9% | 0.5% | |
9.9 | 10.0 | |
5 days ago | 7 days ago | |
Java | Java | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
X-Road
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Sweden reports damage to Baltic Sea cable with Estonia
And they've open sourced a lot of the code they use for their infrastructure:
https://github.com/nordic-institute/X-Road
They also had a blockchain-based timestamping system a year before the Bitcoin white paper was released :)
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API’s role in digital government: 10 national best practices
Reference: X-Road, Data Exchange Layer X-Road (n.d.). https://x-road.global/
- Source code of the X-Road data exchange layer software
- Estonia paved the way for e-government
- Die Bundesregierung hat ihre Digitalstrategie veröffentlicht
- Gattyán György cyberpunk-Magyarországot vizionált egy egyetemi előadáson
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Ti hogy implementálnátok a https://vakcinareg.neak.gov.hu/regisztracio oldalt?
Az észtek így oldották meg az állami adatsilók problémáját húsz évvel ezelőtt: https://www.youtube.com/watch?v=9PaHinkJlvA . A cucc nagy része fent is van githubon: https://github.com/nordic-institute/X-Road
Apache Camel
- Show HN: Winglang – a new Cloud-Oriented programming language
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Ask HN: What is the correct way to deal with pipelines?
"correct" is a value judgement that depends on lots of different things. Only you can decide which tool is correct. Here are some ideas:
- https://camel.apache.org/
- https://www.windmill.dev/
- https://github.com/huginn/huginn
Your idea about a queue (in redis, or postgres, or sqlite, etc) is also totally valid. These off-the-shelf tools I listed probably wouldn't give you a huge advantage IMO.
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Is there something like airflow but written in Scala/Java?
Apache Camel Apache Nifi Spring Cloud
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Why messaging is much better than REST for inter-microservice communications
This reminds me more of Apache Camel[0] than other things it's being compared to.
> The process initiator puts a message on a queue, and another processor picks that up (probably on a different service, on a different host, and in different code base) - does some processing, and puts its (intermediate) result on another queue
This is almost exactly the definition of message routing (ie: Camel).
I'm a bit doubtful about the pitch because the solution is presented as enabling you to maintain synchronous style programming while achieving benefits of async processing. This just isn't true, these are fundamental tradeoffs. If you need a synchronous answer back then no amount of queuing, routing, prioritisation, etc etc will save you when the fundamental resource providing that is unavailable, and the ultimate outcome that your synchronous client now hangs indefinitely waiting for a reply message instead of erroring hard and fast is not desirable at all. If you go into this ad hoc, and build in a leaky abstraction that asynchronous things are are actually synchronous and vice versa, before you know it you are going to have unstable behaviour or even worse, deadlocks all over your system and the worst part - the true state of the system is now hidden in which messages are pending in transient message queues everywhere.
What really matters here is to fundamentally design things from the start with patterns that allow you to be very explicit about what needs to be synchronous vs async (building on principles of idempotency, immutability, coherence, to maximise the cases where async is the answer).
The notion of Apache Camel is to make all these decisions a first class elements of your framework and then to extract out the routing layer as a dedicated construct. The fact it generalises beyond message queues (treating literally anything that can provide a piece of data as a message provider) is a bonus.
[0] https://camel.apache.org/
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Can I continuously write to a CSV file with a python script while a Java application is continuously reading from it?
Since you're writing a Java app to consume this, I highly recommend Apache Camel to do the consuming of messages for it. You can trivially aim it at file systems, message queues, databases, web services and all manner of other sources to grab your data for you, and you can change your mind about what that source is, without having to rewrite most of your client code.
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S3 to S3 transform
For a simple sequential Pipeline, my goto would be Apache Camel. As soon as you want complexity its either Apache Nifi or a micro service architecture.
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🗞️ We have just released our JBang! catalog 🛍️
🐪 Apache Camel : Camel JBang, A JBang-based Camel app for easily running Camel routes.
- 7GUIs of Java/Object Oriented Design?
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System Design: Enterprise Service Bus (ESB)
Apache Camel
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Advanced: Java, JVM and general knowledge
So, my advice is this. Expand your knowledge. Pursue higher education on topics you are familiar with, but also explore topics you are not. Read documentation, but question it. I just found out about something called Apache Camel today that I am excited to read up on. Why is it better than Spring? Is it really? What's happening here? This is always what excites me as a developer and engineer. There is so much to learn.
What are some alternatives?
cowboy - Small, fast, modern HTTP server for Erlang/OTP.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
castled - Castled is an open source reverse ETL solution that helps you to periodically sync the data in your db/warehouse into sales, marketing, support or custom apps without any help from engineering teams
Apache Kafka - Mirror of Apache Kafka
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Apache Pulsar - Apache Pulsar - distributed pub-sub messaging system
WeIdentity - 基于区块链的符合W3C DID和Verifiable Credential规范的分布式身份解决方案
Apache ActiveMQ Artemis - Mirror of Apache ActiveMQ Artemis
connect - The swiss army knife of healthcare integration.
Spring Boot - Spring Boot
data.gov - Main repository for the data.gov service
Aeron - Efficient reliable UDP unicast, UDP multicast, and IPC message transport